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Created about 5 years ago
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rekharchandran

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Python Excercises - This repository contains examples of Python programming NumPy, GeoPy, Pandas,nltk etc

R-programming-Exercises-Practice-Solution

The best way we learn anything is by practice and exercise questions. These exercises help you to improve your R programming coding skills

Jupyter Notebook

Traffic-Sign-Detection-Using-Yolov5

YOLOv5 is the latest version of YOLO family of object detection models. It's the first YOLO implementation in PyTorch (rather than Darknet) and emphasizes ease of use and quickness of training and inference.

Jupyter Notebook

Modeling-Earthquake-Damage

Richter's Predictor: Modeling Earthquake Damage - Based on aspects of building location and construction, predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.The data mainly consists of information on the buildings' structure and their legal ownership. Each row in the dataset represents a specific building in the region that was hit by Gorkha earthquake.

Jupyter Notebook

EfficientNetV2-Pytorch

EfficientNetV2: Smaller Models and Faster Training. PyTorch Implementation of EfficientNetV2 Family

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Analysis-of-Energy-Power-Consumption-IoT-Analytics

To perform an in-depth analysis of the power consumption dataset and the client would like to know if insights can be found in the sub-metered energy consumption data set that could be used as an incentive to potential home buyers that may be interested in “smart home” technology.

Traffic-sign-detection-using-detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms

Jupyter Notebook

MYSQL-for-Data-Analytics-and-Business-Intelligence

SQL for Business Analysis , Marketing, and Data Management

TSQL

Financial-Perfomance-Analysis-

Financial Analysis with Python using Financial Modelling Prep's API

Jupyter Notebook

Sentimental-analysis-using-Common-Crawl-data-AWS-

Using the cloud computing platform provided by AWS , collect and develop a data matrix in the range of 20 thousand instances of relevant web documents from the Common Crawl and create a model to predict Sentiment analysis between iPhone and Samsung Galaxy.

Jupyter Notebook

Sales-Prediction

To predict the sales in four different product types while assessing the effects service and customer reviews have on sales.

Traffic-Sign-Classification-Keras

Traffic signs(GTSRB) classification with a convolutional network (keras and python)

Jupyter Notebook

Java-Programming-and-Software-Engineering-Fundamentals

Solutions for Java Programming specialisation course by Duke University on Coursera.

Java

COVID-19-Open-Research-Dataset-

COVID-19 Open Research Dataset Challenge (CORD-19) - Kaggle

Jupyter Notebook

Python-Youtube-API

Create an API key and Connect to the YouTube API using Python

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3D-Point-Cloud-segmenttion-and-classification

Point Cloud Segmentation and classification

Jupyter Notebook

Geographical-Plotting-Using-Python

Python for Data Visulaization (Geographical Plotting using plotly)

Jupyter Notebook

WIFI-Locatioining-IoT-Analytics

Evaluating the application of machine learning techniques to the problem of indoor locationing via wifi fingerprinting.

Jupyter Notebook

Deep-learning_Neural-Networks

My solutions for Deep learning specialisation course by Andrew Ng on Coursera.

Jupyter Notebook

R-Programming

Based on the R tutorial from Pieriandata

Jupyter Notebook

Machine-Learning-using-Python

Based on tutorials from the python course here I find all necessary documents to learn from or use it for future goals.

Jupyter Notebook

Brazilian-E-Commerce-Public-Dataset-by-Olist

This is a Brazilian ecommerce public dataset of orders made at Olist Store(Kaggle)

Market-Basket-Analysis

Blackwell Electronics' board of directors is considering acquiring Electronidex, a start-up electronics online retailer. CTO has asked to perform a market basket analysis to help Blackwell's board of directors to better understand the clientele that Electronidex is currently serving (customer buying patterns, profitability, customer preferences and relations over certain products) and if Electronidex would be an optimal acquisition.

rekharchandran/Practice-Python

rekharchandran

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